How deceptive are deceptive visualizations? An empirical analysis of common distortion techniques

Anshul Vikram Pandey, Katharina Rall, Margaret L. Satterthwaite, Oded Nov, Enrico Bertini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present an empirical analysis of deceptive visualizations. We start with an in-depth analysis of what deception means in the context of data visualization, and categorize deceptive visualizations based on the type of deception they lead to. We identify popular distortion techniques and the type of visualizations those distortions can be applied to, and formalize why deception occurs with those distortions. We create four deceptive visualizations using the selected distortion techniques, and run a crowdsourced user study to identify the deceptiveness of those visualizations. We then present the findings of our study and show how deceptive each of these visual distortion techniques are, and for what kind of questions the misinterpretation occurs. We also analyze individual differences among participants and present the effect of some of those variables on participants' responses. This paper presents a first step in empirically studying deceptive visualizations, and will pave the way for more research in this direction.

Original languageEnglish (US)
Title of host publicationCHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCrossings
PublisherAssociation for Computing Machinery
Pages1469-1478
Number of pages10
ISBN (Electronic)9781450331456
DOIs
StatePublished - Apr 18 2015
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015 - Seoul, Korea, Republic of
Duration: Apr 18 2015Apr 23 2015

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2015-April

Other

Other33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period4/18/154/23/15

Keywords

  • Deceptive visualization
  • Empirical analysis
  • Evaluation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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